We are seeking an experienced Senior Cloud and DevOps Engineer to design, implement, and manage scalable cloud infrastructure and DevOps platforms across multi-cloud environments. The ideal candidate will have strong expertise in Kubernetes, Terraform, CI/CD automation, cloud-native technologies, observability, cost optimization, and platform reliability. The role also involves mentoring engineers, driving cloud transformation initiatives, and ensuring production stability.
The Core Responsibilities For The Job Include The Following
Cloud Infrastructure and Platform Engineering:
- Design, build, and manage cloud infrastructure on GCP, Azure, and AWS.
- Develop and maintain Infrastructure as Code (IaC) using Terraform.
- Manage networking, IAM, security controls, storage, databases, and serverless services.
- Implement cloud governance, security, and compliance best practices.
- Optimize cloud spending through resource right-sizing, Spot instances, and infrastructure improvements.
Kubernetes And Container Platform
- Design and manage Kubernetes clusters in production environments.
- Implement and maintain service mesh technologies such as Istio.
- Develop custom Kubernetes controllers, webhooks, and platform automation solutions.
- Ensure high availability, scalability, and reliability of containerized workloads.
- Manage backup, disaster recovery, and cluster lifecycle operations.
DevOps And CI/CD
- Build and optimize CI/CD pipelines using GitLab, GitHub Actions, Helm, and ArgoCD.
- Implement GitOps practices for application deployment and infrastructure management.
- Automate provisioning, deployment, and operational workflows.
- Improve developer productivity through platform automation.
Observability And SRE
- Implement monitoring, logging, alerting, and tracing solutions using Datadog, Grafana, Prometheus, and Loki.
- Lead production incident management, root cause analysis, and post-incident reviews.
- Define and implement reliability standards, SLIs, SLOs, and operational excellence practices.
- Drive proactive monitoring and automation initiatives.
AI And Platform Innovation
- Evaluate and implement AI-driven operational solutions.
- Build intelligent observability and incident management workflows.
- Leverage AI agents to reduce operational overhead and improve platform efficiency.
Leadership And Collaboration
- Mentor and guide DevOps engineers.
- Collaborate with development, architecture, security, and product teams.
- Lead technical discussions and cloud modernization initiatives.
- Drive adoption of engineering best practices across teams.
Requirements
- Bachelor's Degree in Engineering, Computer Science, Information Technology, or a related field.
- Cloud Platforms: Google Cloud Platform (GCP), Microsoft Azure, Amazon Web Services (AWS).
- Infrastructure as Code: Terraform.
- Containerization and Orchestration: Kubernetes, Docker, and Istio Service Mesh.
- CI/CD and GitOps: GitLab CI/CD, GitHub Actions, ArgoCD, Helm.
- Observability: Datadog, Grafana, Prometheus, Loki.
- Programming and Scripting: Bash/Shell Scripting.
Preferred Qualifications
- HashiCorp Terraform Associate Certification.
- Certified Kubernetes Application Developer (CKAD).
- Azure AZ-900 Certification.
- Experience with Cloudflare, Spot.io, Velero, PostgreSQL, and AI-driven platform engineering.
- Experience leading technical teams and mentoring engineers.
This job was posted by Priyanka R N from Falabella.
